What does the validation process in preparation for MDM focus on?

What does the validation process in preparation for MDM focus on?

• A. Adding new data attributes
• B. Identifying problems within the data
• C. Classifying data into categories
• D. Establishing user permissions

Answer: (B)

The validation process in preparation for Master Data Management (MDM) is primarily focused on identifying problems within the data. This step is crucial because it helps ensure that the data set is of high quality before it gets integrated into the MDM system. Identifying errors or inconsistencies, such as duplicates, missing values, incorrect formats, or logical inconsistencies, is essential to maintain the integrity of the master data. By addressing these issues during the validation process, organizations can prevent downstream errors, improve data accuracy, and ultimately enable better decision-making. In this context, while adding new data attributes, classifying data into categories, and establishing user permissions are important processes in data management, they are not the primary focus of the validation process. Adding attributes relates more to data modeling, classification pertains to organizing data for usability, and managing permissions deals with data governance rather than the quality of the data itself, which is the central aim of validation.

The validation process in preparation for Master Data Management (MDM) is primarily focused on identifying problems within the data. This step is crucial because it helps ensure that the data set is of high quality before it gets integrated into the MDM system. Identifying errors or inconsistencies, such as duplicates, missing values, incorrect formats, or logical inconsistencies, is essential to maintain the integrity of the master data. By addressing these issues during the validation process, organizations can prevent downstream errors, improve data accuracy, and ultimately enable better decision-making.

In this context, while adding new data attributes, classifying data into categories, and establishing user permissions are important processes in data management, they are not the primary focus of the validation process. Adding attributes relates more to data modeling, classification pertains to organizing data for usability, and managing permissions deals with data governance rather than the quality of the data itself, which is the central aim of validation.